DESCRIPTION

Package: SDMtune
Type: Package
Title: Species Distribution Model Selection
Version: 1.3.1
Authors@R: c(
	  person("Sergio", "Vignali",  email = "sergio.vignali@unibe.ch",
	         role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3390-5442")),
	  person("Arnaud", "Barras", role = "aut",
	         comment = c(ORCID = "0000-0003-0850-6965")),
	  person("Veronika", "Braunisch", role = "aut",
	         comment = c(ORCID = "0000-0001-7035-4662")),
	  person("Conservation Biology - University of Bern", role = "fnd")
	)
Description: User-friendly framework that enables the training and the
    evaluation of species distribution models (SDMs). The package implements
    functions for data driven variable selection and model tuning and includes
    numerous utilities to display the results. All the functions used to select
    variables or to tune model hyperparameters have an interactive real-time
    chart displayed in the 'RStudio' viewer pane during their execution.
License: GPL-3
URL: https://consbiol-unibern.github.io/SDMtune/
BugReports: https://github.com/ConsBiol-unibern/SDMtune/issues
SystemRequirements: Java (>= 8)
Depends: R (>= 4.1.0)
Imports: 
    cli (>= 3.4.1),
    dismo (>= 1.3-9),
    gbm (>= 2.1.5),
    ggplot2 (>= 3.4.0),
    jsonlite (>= 1.6),
    maxnet (>= 0.1.4),
    methods,
    nnet (>= 7.3-12),
    randomForest (>= 4.6-14),
    Rcpp (>= 1.0.1),
    rlang (>= 0.4.5),
    rstudioapi (>= 0.10),
    stringr (>= 1.4.0),
    terra (>= 1.6-47),
    whisker (>= 0.3-2)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
Suggests:
    covr,
    htmltools (>= 0.3.6),
    kableExtra (>= 1.1.0),
    knitr (>= 1.23),
    maps (>= 3.3.0),
    pkgdown (>= 2.0.7),
    plotROC (>= 2.2.1),
    rasterVis (>= 0.50),
    reshape2 (>= 1.4.3),
    rJava (>= 0.9-11),
    rmarkdown (>= 2.16),
    scales (>= 1.0.0),
    testthat (>= 3.1.7),
    withr (>= 2.5.0),
    zeallot (>= 0.1.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Collate: 
    'ANN-class.R'
    'BRT-class.R'
    'Maxent-class.R'
    'Maxnet-class.R'
    'RF-class.R'
    'RcppExports.R'
    'SWD-class.R'
    'SDMmodel-class.R'
    'SDMmodel2MaxEnt.R'
    'SDMmodelCV-class.R'
    'SDMtune-class.R'
    'SDMtune-package.R'
    'addSamplesToBg.R'
    'aicc.R'
    'auc.R'
    'chart-utils.R'
    'checkMaxentInstallation.R'
    'combineCV.R'
    'confMatrix.R'
    'convertFolds.R'
    'corVar.R'
    'doJk.R'
    'getTunableArgs.R'
    'gridSearch.R'
    'maxentTh.R'
    'maxentVarImp.R'
    'mergeSWD.R'
    'modelReport.R'
    'optimizeModel.R'
    'plotCor.R'
    'plotJk.R'
    'plotPA.R'
    'plotPred.R'
    'plotROC.R'
    'plotResponse.R'
    'plotVarImp.R'
    'predict-ANN.R'
    'predict-BRT.R'
    'predict-Maxent.R'
    'predict-Maxnet.R'
    'predict-RF.R'
    'predict-SDMmodel.R'
    'predict-SDMmodelCV.R'
    'prepareSWD.R'
    'randomFolds.R'
    'randomSearch.R'
    'reduceVar.R'
    'swd2csv.R'
    'thinData.R'
    'thresholds.R'
    'train.R'
    'trainANN.R'
    'trainBRT.R'
    'trainMaxent.R'
    'trainMaxnet.R'
    'trainRF.R'
    'trainValTest.R'
    'tss.R'
    'utils.R'
    'varImp.R'
    'varSel.R'
    'virtualSp.R'
    'zzz.R'
Language: en-US